Microsoft jobs in london london city of united kingdom

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Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modeling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work Experience with HPC (High performance computing) and/ or parallel programming? Experience in the area of pretraining Experience working with GPU clusters Design and develop Python and CUDA/HIP C++ code that enable distributed training of multimodal LLMs ingesting text, audio, images, or video data. Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models. Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation. 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Embody our culture of collaboration, innovation, and excellence. Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Machine Learning, Mathematics, or related STEM fields and experience in coding in languages including, but not limited to, C, C++, C#, Rust, Java, or Python Experience with large-scale software systems and infrastructure. Demonstrated interest in reinforcement learning, language modelling, generative modelling, or related domains. Ability to work collaboratively in a fast-paced, innovative environment. Background in machine learning research. 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Experience managing cross-functional and/or cross-team projects. Proven track record as a Product Manager with first-hand experience evaluating and deploying LLMs into production. Experience working side-by-side with Researchers and/or Engineers Identifying and prioritizing language and multimodal model issues and working with researchers to find a path to resolution. Creating novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning. Creating model prototypes to prove out new feature directions and scope projects. Engineering prompts to teach models how to behave across a wide range of scenarios. Working closely with researchers and engineers to define and manage engineering and research projects. Deploying and tracking AB model experiments in production Foster a culture of collaboration, continuous improvement, and growth. 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Passionate about conversational AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Develop algorithms, model architectures, data mixtures, and scaling laws for large-scale training using a rigorous data-driven approach grounded in meticulous ablations Drive algorithmic implementations, conduct experiments, and oversee flagship training runs on our in-house large-scale distributed stack Collaborate closely with teams on infrastructure, data, post-training, and multimodality Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837027122", "isPrivate": false}, {"id": 1970324837008481, "name": "Member of Technical Staff, AI Data", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1753811574, "t_create": 1740412613, "ats_job_id": 1970324837008481, "display_job_id": 1970324837008481, "type": "ATS", "id_locale": "1970324837008481-en", "job_description": "Are passionate about the role of data in large-scale AI model training Will thrive in a highly collaborative, fast-paced environment Have a high degree of craftsmanship and pay close attention to details Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies Effectively manage multiple responsibilities and can adjust to shifting priorities. Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR equivalent experience. Expertise in large scale data engineering ideally applied to AI Expertise in Spark, Kubernetes or similar. Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video). Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models. Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation. 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Passionate about conversational AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Proven research track record in a domain related field supported by exceptional papers Develop data collection, evaluation, and finetuning methods for models. Design hypotheses and experiment plans for rapidly iterating on model performance. Collaborate with pretraining and product platform teams to establish good vertical integration and ship models that Copilot users love. Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008483", "isPrivate": false}, {"id": 1970324837028970, "name": "Member of Technical Staff \u2013 Machine Learning, AI Safety  ", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1755655577, "t_create": 1753870687, "ats_job_id": 1970324837028970, "display_job_id": 1970324837028970, "type": "ATS", "id_locale": "1970324837028970-en", "job_description": "Leverage expertise to uncover potential risks and develop novel mitigation strategies, including data mining, prompt engineering, LLM evaluation, and classifier training. Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes. Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems. Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users. Bachelor's Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience prompting and working with large language models. Experience writing production-quality Python code. Demonstrated interest in Responsible AI.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837028970", "isPrivate": false}, {"id": 1970324837028520, "name": "Member of Technical Staff, Platform Engineer", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1755655574, "t_create": 1753465120, "ats_job_id": 1970324837028520, "display_job_id": 1970324837028520, "type": "ATS", "id_locale": "1970324837028520-en", "job_description": "Build secure and performant AI Platform services that power Copilot. Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services. Ship high-quality, well-tested, secure, and maintainable code. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values. Bachelor's degree in computer science, or related technical discipline AND technical engineering experience building distributed systems and pipelines with coding in languages including, but not limited to, Python, Golang, C OR equivalent experience. Experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc. Experience working with data processing pipelines and frameworks. Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. Ability to identify, analyse, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 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Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making. Have experience and/or in-depth understandings about large-scale distributed systems. Demonstrate an ability to work collaboratively in a fast-paced, innovative environment. Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work OR equivalent experience. Expertise in multimodal Research with a strong publishing track record Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not. Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis Innovate and iterate over ideas, prototypes, and product. Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback Advance the AI frontier responsibly Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008485", "isPrivate": false}, {"id": 1970324837030543, "name": "Member of Technical Staff - Applied AI Software Engineer, Health", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "Copilot Health (4HBW)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1755532448, "t_create": 1755184230, "ats_job_id": 1970324837030543, "display_job_id": 1970324837030543, "type": "ATS", "id_locale": "1970324837030543-en", "job_description": "Overview At Microsoft AI, our health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing. We\u2019re responsible for ensuring that Microsoft AI\u2019s models and services are useful, trusted and safe across diverse customer health journeys. We\u2019re assembling a world-class team of builders with backgrounds in healthcare, big tech, and frontier AI research labs. Our goal is to translate cutting-edge research\u2014like MAI-DxO (microsoft.ai/new/the-path-to-medical-superintelligence)\u2014into transformative products for millions of users across copilot.com and Microsoft\u2019s consumer ecosystem. We are looking for software engineers with experience designing and building LLM-based products, and taking them through to production. You will be a key bridge between research and product, and play a pivotal role in establishing Copilot as the leader in safe, informative, trustworthy and useful health information. We are specifically looking for engineers with experience designing, building and running evaluations for LLMs. You will be expected to build eval pipelines, curate and synthesise datasets, design automated analyses and explain results to internal stakeholders. Microsoft\u2019s mission is to empower every person and every organisation on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities: Be a key cross-functional team member, and close collaborator to product teams. Make significant contributions from translating research into benchmarks to co-authoring product roadmap. Design and build evaluation systems that test LLM capabilities in the healthcare domain, and interpret and communicate results. Run experiments to determine how different prompting techniques affect results on internal and industry benchmarks. Improve the tooling that is used internally to implement, run and analyze evaluations. Design internal benchmarking and regression testing capabilities that capture model accuracy, safety and utility. Qualifications Required Qualifications: Bachelor's or Higher Degree in Computer Science, or related technical discipline AND significant Python programming experience / machine learning research. Deep experience building with and around LLMs, and experience building tools for analysing and understanding their performance. Including, but not limited to, prompt / context engineering. Experience collaborating in cross functional teams, working through ambiguity to deliver high quality results. Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Preferred qualifications: Experience in healthcare technology, or experience in the health domain. Experience with data engineering - handling text dataset sourcing, curation, and processing tasks at scale. Passionate about conversational AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. 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